Misleading Visualizations
93 words
1 min read
Visual companion
Python
Type and operator map
Python Week 1: the first filter for runtime behavior
View
Revision summary
What this note is really saying
Short form
# Misleading Visualizations ## 10.1 Common Deceptive Techniques Technique What It Does How to Fix Truncated Y-axis Exaggerates differences Start at 0 or clearly mark break Dual axes Misleading correlations Use separate charts or standardize Inappropriate scale Manipulates perception Use consistent, linear scales Che...
Misleading Visualizations
10.1 Common Deceptive Techniques
| Technique | What It Does | How to Fix |
|---|---|---|
| Truncated Y-axis | Exaggerates differences | Start at 0 or clearly mark break |
| Dual axes | Misleading correlations | Use separate charts or standardize |
| Inappropriate scale | Manipulates perception | Use consistent, linear scales |
| Cherry-picking | Selects favorable time range | Show full context |
| 3D effects | Distorts perception | Use 2D charts |
| Area doubling | Confuses linear vs. area perception | Use bar charts for comparison |
10.2 The WSJ Guidelines
Every chart should:
- Show the data clearly without distortion
- Label axes and provide context
- Cite sources and note uncertainty
- Use appropriate chart types
- Be accessible (colorblind-safe, readable fonts) Join Discord PreviousStorytelling ExamplesNextAdvanced Topics